Build fair, reliable, and scalable API request queues with rate limiting, idempotency, retries, scheduling, and SLO-driven operations.
Designing reliable distributed transactions with the Saga pattern: orchestration vs choreography, API design, idempotency, compensations, and production pitfalls.
Designing robust REST API batch operations: models, atomicity, idempotency, error handling, async jobs, limits, and examples.
Design reliable webhook retries: backoff with jitter, idempotency, Retry-After, DLQs, security, and ops patterns for resilient REST API webhooks.
A practical guide to API idempotency: keys, retries, storage design, error handling, and patterns for exactly-once effects in distributed systems.
A practical guide to REST API error handling: status codes, structured responses (RFC 7807), retries, rate limits, idempotency, security, and observability.
